Table 1.

True classification ratio simulations results.

n	SLDA		SLR-LASSO		SLR-SCAD
	MedTrue	MeanTrue	MedTrue	MeanTrue	MedTrue	MeanTrue
20	0.95	0.9335	0.9	0.8559	0.9	0.8974
40	0.95	0.9558	0.925	0.9285	0.925	0.9254
60	0.9667	0.9657	0.9667	0.9546	0.95	0.9488
100	0.98	0.9728	0.98	0.9729	0.98	0.9687

SLDA: stepwise linear discriminant analysis.

SLR-LASSO: sparse logistics regression-least absolute shrinkage and selection operator.

SLR-SCAD: sparse logistics regression-smoothly clipped absolute deviation penalty.